factor_remove: Remove predictor from the current model formula

In realgabon/insuRglm: Tools for GLM Modeling in Insurance Context

Remove predictor from the current model formula

Description

Removes the predictor from the list of predictors. These will be used in model formula when model_fit is called.

Usage

factor_remove(setup, var_symbol)

Arguments

setup	Setup object. Created at the start of the workflow. Usually piped in from previous step.
var_symbol	Unquoted symbol. Predictor to be removed. Must be present in the modeling dataset.

Value

Setup object with updated attributes.

Examples

require(dplyr) # for the pipe operator
data('sev_train')

setup <- setup(
  data_train = sev_train,
  target = 'sev',
  weight = 'numclaims',
  family = 'gamma',
  keep_cols = c('pol_nbr', 'exposure', 'premium')
)

modeling <- setup %>%
  factor_add(pol_yr) %>%
  factor_add(agecat) %>%
  model_fit() %>%
  factor_remove(agecat)

realgabon/insuRglm documentation built on Jan. 2, 2023, 2:51 a.m.